Peter Udo Diehl
Peter Udo Diehl
Charité – Berlin University Medicine
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Unsupervised Learning of Digit Recognition Using Spike-Timing-Dependent Plasticity
PU Diehl, M Cook
Frontiers in Computational Neuroscience, 2015
Fast-Classifying, High-Accuracy Spiking Deep Networks Through Weight and Threshold Balancing
PU Diehl, D Neil, J Binas, M Cook, SC Liu, M Pfeiffer
IEEE International Joint Conference on Neural Networks (IJCNN), 2015
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
PU Diehl, G Zarrella, A Cassidy, BU Pedroni, E Neftci
IEEE International Conference on Rebooting Computing (ICRC), 2016
Audiometric Characteristics of Hyperacusis Patients
J Sheldrake, PU Diehl, R Schaette
Frontiers in Neurology 6 (105), 2015
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth
PU Diehl, BU Pedroni, A Cassidy, P Merolla, E Neftci, G Zarrella
International Joint Conference on Neural Networks (IJCNN), 2016
Efficient Implementation of STDP Rules on SpiNNaker Neuromorphic Hardware
PU Diehl, M Cook
International Joint Conference on Neural Networks (IJCNN) 2014, 4288 - 4295, 2014
Abnormal Auditory Gain in Hyperacusis: Investigation with a Computational Model
PU Diehl, R Schaette
Frontiers in neurology 6, 2015
Structural plasticity denoises responses and improves learning speed
R Spiess, R George, M Cook, PU Diehl
Frontiers in computational neuroscience 10, 93, 2016
Learning and inferring relations in cortical networks
PU Diehl, M Cook
arXiv preprint arXiv:1608.08267, 2016
A wake-sleep algorithm for recurrent, spiking neural networks
J Thiele, P Diehl, M Cook
NIPS 2016 workshop "Computing with Spikes", 2017
Hearing device system and method for processing audio signals
PU Diehl, E Sprengel
US Patent 11,832,058, 2023
Restoring speech intelligibility for hearing aid users with deep learning
PU Diehl, Y Singer, H Zilly, U Schönfeld, P Meyer-Rachner, M Berry, ...
Scientific Reports 13 (1), 2719, 2023
Signal processing device, system and method for processing audio signals
PU Diehl, E Sprengel
US Patent 11,910,163, 2024
Modeling the interplay between Structural Plasticity and Spike-timing-dependent Plasticity
RM George, PU Diehl, M Cook, C Mayr, G Indiveri
Computational Neuroscience Meeting (CNS2015), 2015
Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes
PU Diehl, L Thorbergsson, Y Singer, V Skripniuk, A Pudszuhn, ...
Plos one 17 (11), e0278170, 2022
Factorized computation: What the Neocortex can tell us about the future of computing
PU Diehl, J Martel, J Buhmann, M Cook
Frontiers in computational neuroscience 12, 54, 2018
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users
PU Diehl, H Zilly, F Sattler, Y Singer, K Kepp, M Berry, H Hasemann, ...
Frontiers in Medical Engineering 1, 1281904, 2023
Telluride Decoding Toolbox
S Akram, A de Cheveigné, PU Diehl, E Graber, C Graversen, J Hjortkjaer, ...
Performant spiking systems
PU Diehl
ETH Zurich, 2016
Hearing device system and method for processing audio signals
PU Diehl, E Sprengel, M Barbier
US Patent 11,792,580, 2023
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